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2015 15th International Conference on Control, Automation and Systems (ICCAS)最新文献

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Fast magnetic field simulation with linear system approach 基于线性系统的快速磁场仿真
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364865
Jaeho Lim, Chang-beom Kim, S. Choi, H. Hong, JongWon Park
In this research, we propose a noble methodology for modeling and simulation of the intensity and direction of the magnetic fields generated by coils in a limited 3-dimensional region. This method was strictly based on the Biot-Savart's law determining the magnetic fields induced by currents flowing through the coils. We also used Finite Element Method (FEM), a numerical technique for finding a solution for each subdivision of a whole domain within the regions of interest. Based on the introduction of rotational transform method for an arbitrary axis, this method possesses a strong analysis capability for the magnetic fields in the vicinity of the coil at an arbitrary position in 3-dimensional region. In addition, a linear calculation system adopted in the simulation process was able to carry on high-performance analysis for the magnetic fields generated by even multiple coils. We strongly propose that this noble method would be a powerful simulation tool for the design of a system that can generate magnetic fields within a 3-dim region of interest considering both the intensity and direction.
在这项研究中,我们提出了一种高尚的方法来模拟和模拟有限三维区域内线圈产生的磁场的强度和方向。这种方法严格地基于比奥-萨瓦特定律,该定律确定了电流流经线圈时产生的磁场。我们还使用了有限元法(FEM),这是一种数值技术,用于在感兴趣的区域内寻找整个域的每个细分的解。该方法在引入任意轴的旋转变换方法的基础上,对三维区域内任意位置线圈附近的磁场具有较强的分析能力。此外,仿真过程中采用的线性计算系统能够对均匀多线圈产生的磁场进行高性能分析。我们强烈建议,这种高贵的方法将是一个强大的仿真工具,用于设计一个系统,该系统可以在考虑强度和方向的3-dim区域内产生磁场。
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引用次数: 1
Optimization of multiple sensor data pipeline for real-time 3D terrain reconstruction 面向实时三维地形重建的多传感器数据管道优化
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7365005
Seoungjae Cho, Seongjoo Lee, Kyhyun Um, Kyungeun Cho, Sungdae Sim, Y. Park
Remote-control technology is required in an unmanned vehicle such that it can replace humans for executing tasks in various extreme environments. In particular, a remote scene must be reconstructed using 3D meshes for enabling a user to remotely control an unmanned vehicle easily and intuitively. To this end, a large amount of multiple sensor data would be processed using various algorithms in real time. Considering the limited hardware specifications in extreme environments, it is difficult to implement 3D terrain reconstruction in high-quality and real time. This paper proposes the optimization of the architecture of a multiple-sensor-data pipeline. The improved performance resulting from the optimized architecture was analyzed through experimental comparison with a non-optimized system.
无人驾驶车辆需要远程控制技术,以取代人类在各种极端环境中执行任务。特别是,为了使用户能够轻松直观地远程控制无人驾驶车辆,必须使用3D网格重建远程场景。为此,需要使用各种算法实时处理大量的多个传感器数据。由于极端环境下硬件规格的限制,难以实现高质量、实时的三维地形重建。本文提出了一种多传感器数据管道的结构优化方法。通过与非优化系统的实验对比,分析了优化后系统性能的提高。
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引用次数: 0
Comparison of artificial neural network and support vector machine classifications for fNIRS-based BCI 基于fnir的脑机接口人工神经网络与支持向量机分类的比较
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364654
Noman Naseer, K. Hong, M. Jawad Khan, M. Raheel Bhutta
In this paper we analyze and compare the performance of support vector machine (SVM) and artificial neural network (ANN) for classification of fNIRS signals. fNIRS signals due to mental arithmetic and mental counting are acquired from the prefrontal cortex of ten healthy subjects. After preprocessing and filtering, SVM and ANN classification is performed on the same feature set - mean and slope of the changes in concentration of oxy-hemoglobin. Although no significant difference in the average classification accuracies, obtained using SVM and ANN, is observed (p = 0.2); it is noted that the standard deviation of classification accuracies using ANN is significantly higher than that of SVM. Furthermore, the computational speed of SVM is significantly higher than that of ANN. It is concluded that SVM offers stable classification accuracies and fast computation as compared to ANN.
本文分析比较了支持向量机(SVM)和人工神经网络(ANN)对近红外光谱信号的分类性能。从10个健康受试者的前额叶皮层获取心算和心数引起的近红外信号。经过预处理和滤波,SVM和ANN对同一特征集氧血红蛋白浓度变化的均值和斜率进行分类。虽然使用支持向量机和人工神经网络获得的平均分类准确率没有显著差异(p = 0.2);使用人工神经网络的分类准确率标准差明显高于支持向量机。此外,支持向量机的计算速度明显高于人工神经网络。结果表明,与人工神经网络相比,支持向量机分类精度稳定,计算速度快。
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引用次数: 6
Selection of network topologies at solving certain class of problems on distributed computer systems 在解决分布式计算机系统上某类问题时选择网络拓扑
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364991
Uskenbayeva P K I, Kuandykov A A, Amanzholova S T, Kalizhanova A U
The work hereby considers principles of distributed time-consuming tasks, identifies notions of computational problem parallelism based on selected types of parallelism and defines optimal topologies for solving definite class of problems in distributed computer systems.
本文考虑了分布式耗时任务的原理,在选择并行类型的基础上确定了计算问题并行的概念,并定义了解决分布式计算机系统中确定问题类别的最佳拓扑。
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引用次数: 0
Fall detection algorithm for the elderly based on human characteristic matrix and SVM 基于人体特征矩阵和支持向量机的老年人跌倒检测算法
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364809
Rui-dong Wang, Yong-Liang Zhang, Ling-ping Dong, Jia-wei Lu, Zhi-qin Zhang, Xia He
Fall is one of the leading causes of injury and death for the elderly. Real-time fall detection is of great significance for the safety of the elderly. This paper proposes a coarse to fine fall detection algorithm based on Human characteristic matrix and Support Vector Machine (SVM). First, background subtraction and morphological processing are used to obtain more accurately human silhouette. Then, two human characteristic matrices are constructed based on Hu-moment invariant and the information of human body posture extracted from human silhouette and are used as features to train SVM classifier for fall detection. Experimental results indicate that the proposed algorithm can distinguish fall event from other movements such as squat, sitting down and back turning. Compared with other common methods, the proposed method can real-time and efficiently track the video with 18 frames per second.
跌倒是老年人受伤和死亡的主要原因之一。实时跌倒检测对老年人的生命安全具有重要意义。提出了一种基于人体特征矩阵和支持向量机的从粗到细的跌倒检测算法。首先,通过背景减影和形态学处理,获得更精确的人体轮廓;然后,基于胡矩不变性和从人体轮廓中提取的人体姿态信息构建两个人体特征矩阵,并将其作为特征训练SVM分类器进行跌倒检测;实验结果表明,该算法可以将跌倒事件与蹲下、坐下、转身等其他动作区分开来。与其他常用方法相比,该方法能够以每秒18帧的速度实时有效地跟踪视频。
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引用次数: 13
Active safety system for personal mobility vehicles 个人机动车辆主动安全系统
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364831
Chang Won Kim, Kanghyun Ye, Seung-Kyu Park
In this research, an active safety system for personal mobility vehicle is developed. The active safety system includes automatic braking and steering. A mass production electric wheelchair is remodeled to implement control functions. The automatic braking and steering logic are derived from field vehicle test data. Monitoring the distance to the obstacle and the vehicle speed, the collision hazard is evaluated. According to the safety status, the active safety system enhances the collision safety by audible warning and automatic braking or steering. Results of field test demonstrate the performance of active safety system.
本研究开发了一种个人机动车辆主动安全系统。主动安全系统包括自动制动和自动转向。批量生产的电动轮椅进行改造,实现控制功能。自动制动和转向逻辑来源于现场车辆试验数据。通过监测车辆与障碍物的距离和行驶速度,对碰撞危险性进行评估。主动安全系统根据车辆的安全状况,通过声音报警和自动制动或转向等方式提高碰撞安全性。现场试验结果验证了主动安全系统的性能。
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引用次数: 2
Vibrational characteristics of developed harmonic reduction gear and fault diagnosis by campbell diagram 研制的谐波减速器振动特性及坎贝尔图故障诊断
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364708
In-Gyu Park, Il-Kyeom Kim, Min-Gyu Kim
This paper introduces dynamic characteristics of the developed harmonic reduction gear, namely KCSF-20 through the vibrational and structural analysis. Considering the modal testing, the developed harmonic gear was evaluated by comparing with THK product, CSF-20. The Campbell diagram was an useful tool to diagnose fault cases through analysing the vibrational characteristic of the harmonic reduction gear.
通过振动分析和结构分析,介绍了研制的谐波减速器KCSF-20的动态特性。结合模态试验,与THK产品CSF-20进行了对比,对所研制的谐波齿轮进行了评价。通过分析谐波减速器的振动特性,坎贝尔图是诊断故障的有效工具。
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引用次数: 9
A study on underwater track vehicle system 水下履带式车辆系统研究
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364916
M. Vu, Hyeung-Sik Choi, Joon-Young Kim, Dae-Hyeung Ji, Young-Jin Lee, D. Choi
In this paper, analyses on the design of the underwater track vehicle (UTV) with ladder trencher for cutting underwater soils are conducted. For this, with the mechanics of the underwater ladder trencher are analyzed. Also, the forces of single cutting tools of ladder trencher in relation with force interaction to. Tractive thrust and normal reaction are analyzed and used to assess the traction, weight and balance factors for self-propelled machines. Design of the UTV based on the sensitivity analysis on the parameters of tractive thrust and normal reaction is studied and is analyzed. Besides, a design on the capacity of tractive force of the UTV was studied considering the tractive thrust and normal reaction of the ladder trencher. Based on these analyses, the optimal cutter forces are designed and the simulation of the tractive thrust and normal reaction of the ladder trencher are performed. Finally, the derived mechanics equations are numerically simulated and results are analyzed.
本文对梯级挖槽式水下履带车(UTV)的设计进行了分析。为此,对水下梯式挖沟机进行了力学分析。同时,还研究了梯式挖槽机单刀力与力相互作用的关系。分析了牵引推力和法向反作用力,并将其用于评估自行式机械的牵引力、重量和平衡因素。基于对牵引推力和法向反力参数的敏感性分析,对UTV的设计进行了研究和分析。此外,考虑梯式挖沟机的牵引推力和法向反力,对UTV的牵引能力进行了设计。在此基础上,设计了最优切削力,并对梯形挖槽机的牵引推力和法向反力进行了仿真。最后对导出的力学方程进行了数值模拟,并对结果进行了分析。
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引用次数: 0
Decentralized H∞ control of large-scale descriptor systems using proportional-plus-derivative state feedback 基于比例加导数状态反馈的大规模广义系统的分散H∞控制
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364607
Sungbin Kim, W. Kwon, Jaepil Ban, S. Won
This paper is concerned with the problem of decentralized H∞ proportional-plus-derivative(PD) state feed-back control of uncertain large-scale descriptor systems. The uncertainties are assumed to be polytopic type and appearing in derivative matrices as well as state and input matrices. Sufficient condition for stabilization of uncertain large-scale descriptor systems via H∞ PD state feedback is addressed in terms of Linear Matrix Inequalities(LMIs). A numerical example is given to prove the effectiveness of the proposed control method.
研究不确定广义系统的分散H∞比例加微分(PD)状态反馈控制问题。假设不确定性为多面体型,既存在于导数矩阵中,也存在于状态矩阵和输入矩阵中。利用线性矩阵不等式(lmi)研究了不确定广义系统H∞PD状态反馈镇定的充分条件。通过数值算例验证了所提控制方法的有效性。
{"title":"Decentralized H∞ control of large-scale descriptor systems using proportional-plus-derivative state feedback","authors":"Sungbin Kim, W. Kwon, Jaepil Ban, S. Won","doi":"10.1109/ICCAS.2015.7364607","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364607","url":null,"abstract":"This paper is concerned with the problem of decentralized H∞ proportional-plus-derivative(PD) state feed-back control of uncertain large-scale descriptor systems. The uncertainties are assumed to be polytopic type and appearing in derivative matrices as well as state and input matrices. Sufficient condition for stabilization of uncertain large-scale descriptor systems via H∞ PD state feedback is addressed in terms of Linear Matrix Inequalities(LMIs). A numerical example is given to prove the effectiveness of the proposed control method.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"46 1","pages":"1572-1576"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77400923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3D registration using inertial navigation system and Kinect for image-guided surgery 使用惯性导航系统和Kinect进行图像引导手术的3D配准
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364593
Joon-Young Bang, Shirazi Muhammad Ayaz, K. Danish, Soo-in Park, Hyunki Lee, M. Y. Kim
When 3d image registration using 2d image by hand-held scanner, the most important thing is pose estimation and object surface measure. The relationship between images is important to image registration. In this paper suggest 3d registration using Kinect and INS. The Kinect and INS are integrated on rigid body to improve the accuracy of estimate pose. It can complement the disadvantages of each sensor through the sensor fusion of INS and vision sensor position to make more precise estimates. Using purposed system can measure the three-dimensional shape of a variety of objects, and also can obtain an accurate image in a medical imaging applications which require precision application and apply in Image-guided surgery.
手持扫描仪对二维图像进行三维配准时,最重要的是位姿估计和目标表面测量。图像之间的关系对图像配准非常重要。本文建议使用Kinect和INS进行三维配准。将Kinect和INS集成在刚体上,提高姿态估计的精度。通过对INS和视觉传感器位置的传感器融合,可以弥补各传感器的不足,进行更精确的估计。利用该系统可以测量各种物体的三维形状,并能获得精确的图像,适用于要求精度的医学成像应用和图像引导手术。
{"title":"3D registration using inertial navigation system and Kinect for image-guided surgery","authors":"Joon-Young Bang, Shirazi Muhammad Ayaz, K. Danish, Soo-in Park, Hyunki Lee, M. Y. Kim","doi":"10.1109/ICCAS.2015.7364593","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364593","url":null,"abstract":"When 3d image registration using 2d image by hand-held scanner, the most important thing is pose estimation and object surface measure. The relationship between images is important to image registration. In this paper suggest 3d registration using Kinect and INS. The Kinect and INS are integrated on rigid body to improve the accuracy of estimate pose. It can complement the disadvantages of each sensor through the sensor fusion of INS and vision sensor position to make more precise estimates. Using purposed system can measure the three-dimensional shape of a variety of objects, and also can obtain an accurate image in a medical imaging applications which require precision application and apply in Image-guided surgery.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"23 1","pages":"1512-1515"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81403495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
期刊
2015 15th International Conference on Control, Automation and Systems (ICCAS)
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